from typing import Dict, List, Optional
import pandas as pd
import numpy as np
from datetime import datetime
from abc import ABC, abstractmethod
from analysis.market_analyzer import MarketAnalyzer
from risk.risk_manager import RiskManager
from config.settings import EXCHANGES

'''交易策略模块'''
class TradingStrategy(ABC):
    """交易策略基类"""
    
    def __init__(self, market_analyzer: MarketAnalyzer, risk_manager: RiskManager):
        self.market_analyzer = market_analyzer
        self.risk_manager = risk_manager
        self.positions = {}
        
    @abstractmethod
    def generate_signals(self, symbol: str) -> Dict:
        """生成交易信号"""
        pass
        
    @abstractmethod
    def execute_trade(self, symbol: str, signal: Dict) -> bool:
        """执行交易"""
        pass

class MultiDimensionalStrategy(TradingStrategy):
    """多维度分析交易策略"""
    
    def __init__(self, market_analyzer: MarketAnalyzer, risk_manager: RiskManager):
        super().__init__(market_analyzer, risk_manager)
        self.min_conditions = 3  # 最小满足条件数
        
    def generate_signals(self, symbol: str) -> Dict:
        """生成交易信号"""
        # 获取市场分析结果
        market_signal = self.market_analyzer.generate_trading_signal(symbol)
        
        # 检查风险控制
        if self.risk_manager.should_stop_trading():
            return {'action': 'hold', 'reason': 'risk_control'}
            
        # 检查是否需要止损
        if symbol in self.positions and self.risk_manager.should_stop_loss(
            symbol, market_signal['price_signals']['current_price']):
            return {'action': 'sell', 'reason': 'stop_loss'}
            
        return market_signal
        
    def execute_trade(self, symbol: str, signal: Dict) -> bool:
        """执行交易"""
        try:
            if signal['action'] == 'buy' and symbol not in self.positions:
                # 计算仓位大小
                available_balance = self._get_available_balance()
                position_size = self.risk_manager.calculate_position_size(
                    available_balance,
                    signal['price_signals']['current_price'],
                    signal['price_signals']['volatility']
                )
                
                # 检查仓位是否符合风险控制
                if not self.risk_manager.check_position_size(
                    symbol, position_size, signal['price_signals']['current_price']):
                    return False
                    
                # 执行买入
                self._execute_order(symbol, 'buy', position_size)
                return True
                
            elif signal['action'] == 'sell' and symbol in self.positions:
                # 执行卖出
                position = self.positions[symbol]
                self._execute_order(symbol, 'sell', position['size'])
                return True
                
            return False
            
        except Exception as e:
            print(f"Error executing trade: {e}")
            return False
            
    def _execute_order(self, symbol: str, side: str, size: float):
        """执行订单"""
        # 这里需要实现具体的交易所API调用
        # 更新持仓信息
        if side == 'buy':
            self.positions[symbol] = {
                'size': size,
                'entry_time': datetime.now()
            }
        else:
            if symbol in self.positions:
                del self.positions[symbol]
                
    def _get_available_balance(self) -> float:
        """获取可用余额"""
        # 这里需要实现具体的余额查询逻辑
        return 0.0

class MarketMakingStrategy(TradingStrategy):
    """做市商策略"""
    
    def __init__(self, market_analyzer: MarketAnalyzer, risk_manager: RiskManager):
        super().__init__(market_analyzer, risk_manager)
        self.spread_threshold = 0.002  # 最小价差
        self.order_book_depth = 10     # 订单簿深度
        
    def generate_signals(self, symbol: str) -> Dict:
        """生成做市商信号"""
        # 分析市场深度
        depth = self.market_analyzer.analyze_market_depth(symbol)
        
        # 计算买卖价差
        spread = depth['ask'] - depth['bid']
        
        if spread > self.spread_threshold:
            return {
                'action': 'make_market',
                'bid_price': depth['bid'],
                'ask_price': depth['ask'],
                'timestamp': datetime.now()
            }
        
        return {'action': 'hold'}
        
    def execute_trade(self, symbol: str, signal: Dict) -> bool:
        """执行做市商交易"""
        if signal['action'] != 'make_market':
            return False
            
        try:
            # 计算做市商订单大小
            order_size = self.risk_manager.calculate_position_size(
                self._get_available_balance(),
                signal['bid_price'],
                0.0  # 做市商策略不考虑波动率
            )
            
            # 放置买单和卖单
            self._place_limit_orders(symbol, order_size, signal)
            return True
            
        except Exception as e:
            print(f"Error executing market making: {e}")
            return False
            
    def _place_limit_orders(self, symbol: str, size: float, signal: Dict):
        """放置限价单"""
        # 这里需要实现具体的限价单逻辑
        pass
